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Enregistrement W2613512448 · doi:10.1111/jgs.14925

Comment on: How U.S. Doctors Die: A Cohort Study of Healthcare Use at the End of Life

2017· letter· en· W2613512448 sur OpenAlexaboutno aff
Alberto Dolara

Notice bibliographique

RevueJournal of the American Geriatrics Society · 2017
Typeletter
Langueen
DomaineMedicine
ThématiquePalliative Care and End-of-Life Issues
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineEnd-of-life carePopulationRomanceAsideHealth careSittingGerontologyPsychoanalysisPalliative careNursingLawLiteraturePsychology

Résumé

récupéré en direct d'OpenAlex

To the Editor: In a stimulating study published in this Journal, Matlock and colleagues found that U.S. physicians are given more-intensive care than the general population at the end of their life.1 Although “it was expected that their knowledge of medicine and its limitations would be evident in their avoidance of high-intensity and end-of-life care,” Dr. Matlock findings suggest “a more mixed and nuanced picture” and also that the reply to the question of how one wants to die still merits more reflection. Leaving aside questionable efforts to freeze human bodies waiting to be resuscitated in the future, probably most people would prefer to die like the old man that Leonardo da Vinci described 5 centuries ago: “a few years before death, he said he had lived for one hundred years and that he felt a little tired and while he was sitting on a bed at the hospital of S.M. Nuova in Florence without any peculiar movement left quietly this life.” It is difficult to imagine a “romantic” view of death today, as artistically realized in a 2003 Canadian film, “Les Invasions Barbares,” and proposed in a blog by Richard Smith, former director of the British Medical Journal.2 The protagonist of the film removed his father (who was terminally ill) from a dreary hospital and dedicated all his personal time and economic resources to assist him in dying at home, surrounded by family and friends, with the aid of pharmacological therapy to fight pain. Richard Smith wrote that death from cancer is preferable to other types of sudden death, from dementia or organ failure, because it gives the person enough time to prepare how to die. Smith also suggested that the best therapies are love and morphine. Although his blog received much criticism, including personal insults to the author, the core message that time and love are essential to the dying person cannot be eluded. “Time is money”: Benjamin Franklin's advice to young tradesmen in 17483 was not in Dr. Elisabeth Kubler-Ross’ mind while she listened endlessly to individuals who were near death. She reported her experience in her book On Death and Dying, published nearly half a century ago.4 Its central message is the importance of listening to what people who are dying have to tell us about their needs. She also observed several “stages” in these individuals, such as denial of the initial diagnosis, isolation, anger, bargaining, depression, and acceptance of death. Many of these overlap, occur together, or are skipped altogether. Those who are around the dying person, such as doctors, nurses, and family members, may also experience these “stages.” If they are not recognized, dialog with the person who is dying may become difficult or impossible. It is thus necessary for healthcare professionals to have enough time to evaluate the personal, family, and social problems of their patients so as to reduce anxiety while waiting for nonurgent diagnostic and therapeutic procedures, to evaluate new methods and technologies carefully, and finally, to offer adequate emotional support to people who are dying and their families.5-7 “Love which moves the world and the other stars” is the last verse of Paradise by Dante Alighieri, Italy's greatest poet. Love is a powerful feeling that may remain merely a word if it is not transformed into “actions of love,” which require time. Family members and friends who surround the person who is dying should have enough love and time to face the last, most-difficult “stage,” depression, as Kubler-Ross describes. The sorrow we experience about the absence of a loved one during the terminal period in an environment in which there are healthcare professionals who are outsiders and there is a rupture of an interpersonal relationship may be even greater than what we feel about our own death and prevents us from attending to loved ones who remain alive. Dying in a hospital undoubtedly favors this factor. Our fear of death, our attempts to postpone it with overwhelming technology, the absence of adequate time to assist individuals who are dying with love are the major obstacles to our acceptance of death as a natural event and a part of life. Matlock's work indirectly suggests that physicians should be among the first to remove these obstacles. I wish to thank Mary Forrest for correcting the English. Conflict of Interest: None. Author Contributions: Dolara is sole author. Sponsor's Role: None.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,010
score de la tête « metaresearch » (Gemma)0,057
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil0,050

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0100,057
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,002
Communication savante0,0030,004
Science ouverte0,0040,001
Intégrité de la recherche0,0160,019
Charge utile insuffisante (le modèle a refusé de juger)0,0070,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,112
Tête enseignante GPT0,393
Écart entre enseignants0,281 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2017
Routes d'admission1
Résumé présentoui

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